Senior Machine Learning Perception Engineer – Fallback Driving System

General Motors

Senior ML engineer developing camera, lidar, and radar perception for General Motors’ fallback autonomous-driving system. Improving safe-stop capabilities through robust models, optimization, and validation.

Posted 8/4/2026full-timeSunnyvale • California, Missouri, Texas • 🇺🇸 United StatesSenior💰 $170,600 - $261,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evaluating ML perception models for object detection and tracking, utilizing camera, lidar, and radar data. Proficient in developing efficient training pipelines and collaborating with cross-functional teams to integrate models into production systems.

Highest-signal resume keywords

Machine Learning Perception SystemsDeep Learning ArchitecturesML Frameworks (PyTorch, TensorFlow, JAX)Python ProficiencyData Pipeline Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object DetectionSemantic SegmentationInstance SegmentationMulti-Object TrackingMotion PredictionModel EvaluationModel OptimizationData CurationExperiment DesignModel Deployment

Soft Skills

CollaborationMentoringProblem-Solving

Tools & Technologies

Camera DataLidar DataRadar DataROSC++

Industry Keywords

Autonomous DrivingADASSafety-Critical SystemsLarge-Scale DatasetsML Experiment Management

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, train, and evaluate ML perception models for object detection, semantic/instance segmentation, tracking, and short-horizon prediction using camera, lidar, and radar data
Develop and maintain the secondary perception stack that enables the fallback autonomy system to bring the vehicle to a minimal risk condition
Define ML success metrics and drive systematic experimentation to improve performance
Analyze large-scale datasets, curate challenging scenarios, and develop data selection and labeling strategies
Implement efficient training and inference pipelines, including pruning, quantization, and distillation
Collaborate with software and infrastructure engineers to integrate models into production systems
Translate system requirements into ML model requirements, metrics, and validation criteria with Safety, Systems Engineering, and Product
Contribute to verification and validation through offline evaluation, simulation, hardware-in-the-loop, and on-road testing
Participate in code reviews, promote engineering best practices, and mentor other engineers

Requirements

What you’ll need

BS, MS, or PhD in Machine Learning, Robotics, Computer Science, or a related technical field, or equivalent practical experience building ML perception systems
3–5 years of experience developing ML solutions in perception, prediction, autonomous driving, or related domains
Strong experience with camera, lidar, and radar data, including preprocessing, synchronization, and fusion
Deep expertise in convolutional and transformer-based deep learning architectures for 2D/3D object detection, semantic and instance segmentation, multi-object tracking, and motion prediction
Proficiency in at least one major ML framework such as PyTorch, TensorFlow, or JAX
Python proficiency for model development, training, and analysis
Software engineering skills, including C++ or similar languages in large collaborative codebases
Ability to define ML metrics, design experiments, and systematically improve model performance and robustness
Experience deploying ML models on embedded or resource-constrained platforms, including optimization and real-time performance tuning is nice to have
Experience with AV/ADAS perception stacks, robotics, or ROS is nice to have
Familiarity with safety-critical systems and development practices is nice to have
Experience with large-scale data pipelines, labeling workflows, and ML experiment management is nice to have

Benefits

Comp & perks

Bonus potential through an incentive pay program based on company performance, job level, and individual performance
Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Potential relocation benefits